MELDA KÜÇÜKDEMİRCİ

Dr. MELDA KÜÇÜKDEMİRCİ

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
13 July 2022 in Remote Sensing
Verified
Journal Article
Open access
PDF file
MKMELDA KÜÇÜKDEMİRCİ
MELDA KÜÇÜKDEMİRCİ
Apostolos SarrisApostolos Sarris
Apostolos Sarris
Ground penetrating radar (GPR) is a well-established technique used in archaeological prospection and it requires a number of specialized routines for signal and image processing to enhance the data acquired and lead towards a better interpretation of them. Computer-aided techniques have advanced the interpretation of GPR data, dealing with a wide range of operations aiming towards locating, imaging, and diagnosis/interpretation. This article will discuss the novel and recent applications of machine learning (ML) and deep learning (DL) techniques, under the artificial intelligence umbrella, for processing GPR measurements within archaeological contexts, and their potential, limitations, and possible future prospects.

14 February 2020 in Archaeological Prospection
Verified
Journal Article
Closed access
PDF file
MKMELDA KÜÇÜKDEMİRCİ
MELDA KÜÇÜKDEMİRCİ
Apostolos SarrisApostolos Sarris
Apostolos Sarris

24 September 2017 in Archaeological Prospection
Verified
Journal Article
Closed access
PDF file
MKMELDA KÜÇÜKDEMİRCİ
MELDA KÜÇÜKDEMİRCİ
EÖElif Özer
Elif Özer
SPSalvatore Piro
Salvatore Piro
NBNiyazi Baydemir
Niyazi Baydemir
DZDaniela Zamuner
Daniela Zamuner


28 November 2025 in Surface Topography: Metrology and Properties
Verified
Journal Article
Closed access
MKMELDA KÜÇÜKDEMİRCİ
MELDA KÜÇÜKDEMİRCİ
Sinkholes are surface depressions or collapses that often form due to the gradual erosion of soluble underground rocks. Their sudden appearance can pose serious risks to landscapes, infrastructure, and communities. Monitoring sinkholes is essential for understanding changes in Earth’s surface over time and for mitigating potential hazards. This study explores the use of Artificial Intelligence (AI) to support the detection and monitoring of sinkholes through satellite imagery. A pre-trained DenseNet201 deep learning model was fine-tuned to recognize sinkhole-related features in Planet satellite images captured over years. The model demonstrated efficient performance, achieving 88% accuracy during training and validation. It also identified six additional patches containing sinkholes between 2020 and 2024. When data availability, site coverage, and image resolution are sufficient, these results suggest that well-adapted deep learning models can significantly enhance environmental monitoring and geospatial analysis.

1 January 2009 in ArchéoSciences
Verified
Journal Article
Open access
PDF file
MKMELDA KÜÇÜKDEMİRCİ
MELDA KÜÇÜKDEMİRCİ
The aim of this study is to investigate by magnetic prospection ancient structures buried in the necropolis of the historically and archaeologically important city of Antandros in Altınoluk, Balıkesir (Turkey). Antandros is a city in Troas, located on the hillside of İda Mountain. Archaeological excavations started in a part of the city in 2001 have brought to light Late Roman and Hellenistic remains. Figure 1: Study location on the archaeological map of Turkey. The present magnetic study fo...